Results 51 to 60 of about 135,176 (283)

Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research

open access: yesJMIR Public Health and Surveillance, 2022
BackgroundAdvances in automated data processing and machine learning (ML) models, together with the unprecedented growth in the number of social media users who publicly share and discuss health-related information, have made ...
Zahra Shakeri Hossein Abad   +3 more
doaj   +1 more source

Using semantic indexing to improve searching performance in web archives [PDF]

open access: yes, 2013
The sheer volume of electronic documents being published on the Web can be overwhelming for users if the searching aspect is not properly addressed. This problem is particularly acute inside archives and repositories containing large collections of web ...
Khan, Arshad   +2 more
core  

Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa

open access: yes, 2018
This paper presents a generic Bayesian framework that enables any deep learning model to actively learn from targeted crowds. Our framework inherits from recent advances in Bayesian deep learning, and extends existing work by considering the targeted ...
Damianou, Andreas   +3 more
core   +1 more source

The development of non-coding RNA ontology [PDF]

open access: yes, 2016
Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data ...
Blake, Judith   +15 more
core   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li   +6 more
wiley   +1 more source

Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis. [PDF]

open access: yesPLoS ONE, 2012
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of ...
Rohit Vashisht   +53 more
doaj   +1 more source

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter

open access: yesArray, 2022
Intimate partner violence (IPV) is a preventable public health problem that affects millions of people worldwide. Approximately one in four women are estimated to be or have been victims of severe violence at some point in their lives, irrespective of ...
Mohammed Ali Al-Garadi   +6 more
doaj   +1 more source

A linked data-driven & service-oriented architecture for sharing educational resources [PDF]

open access: yes, 2011
The two fundamental aims of managing educational resources are to enable resources to be reusable and interoperable and to enable Web-scale sharing of resources across learning communities.
Dietze, Stefan   +8 more
core  

Cerebrospinal Fluid Liquid Biopsy Enables Targeted Therapy Without Tissue Diagnosis in Pediatric Low‐Grade Gliomas With BRAF V600E Mutation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan   +5 more
wiley   +1 more source

Automated Identification of Patients’ Unmet Social Needs in Clinical Text Using Natural Language Processing

open access: yesMayo Clinic Proceedings: Digital Health
Objective: To develop natural language processing (NLP) solutions for identifying patients’ unmet social needs to enable timely intervention. Patients and Methods: Design: A retrospective cohort study with review and annotation of clinical notes to ...
Sungrim Moon, PhD   +6 more
doaj   +1 more source

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